• 정보와 통신
• /
• 제32권7호
• /
• pp.17-26
• /
• 2015

최근 네트워크 기술 동향에 있어서 이른바 핫 이슈 중 하나인 소프트웨어 정의 네트워킹(SDN, Software-Defined Networking)은 바야흐로 데이터센터, 기업, 캠퍼스 등의 근거리 데이터 네트워크(LAN, Local Area Network) 환경을 넘어서 통신망 사업자(캐리어)와 서비스 제공자를 통해 원거리 데이터 네트워크 (WAN, Wide Area Network)로 진화하고 있다. 본고에서는 종단간 SDN 프로덕션 서비스를 위한 소프트웨어 정의 원거리 네트워크(SD-WAN, Software-Defined WAN)의 개요 및 적용 사례를 소개하고, SD-WAN의 핵심 서비스 기술로 인식되고 있는 네트워크 최적화, 가상화, 자동화, SDX(Software-Defined Exchange) 등의 요소 기술과 연구 동향을 알아본다.

• 전자통신동향분석
• /
• 제27권6호
• /
• pp.144-154
• /
• 2012

최근 네트워킹 분야에서 활발히 연구되고 있는 SDN(Software-Defined Networking) 기술에서, 보다 편리하고 정확한 방법으로 네트워크를 구축하기 위한 SDN 프로그래밍 기술에 대해 최근 발표된 논문을 중심으로 연구 동향을 분석한다.

• 정보와 통신
• /
• 제32권7호
• /
• pp.46-55
• /
• 2015

현재의 OpenFlow 기반의 SDN(Software-Defined Networking) 기술은 데이터 센터 네트워크를 대체하기 위한 기술로 간주되고 있으며 캐리어(통신 사업자)의 네트워크에 적용하기에는 아직 많은 기술 개발이 필요한 것으로 알려져 있다. 본고에서는 캐리어 네트워크에 적용 가능한 SDN을 SDN 2.0으로 정의하고 SDN 2.0의 실현에 필요한 주요 기술들의 연구동향과 적용방안에 대해 살펴본다.

• 인터넷정보학회논문지
• /
• 제22권5호
• /
• pp.27-33
• /
• 2021

With the broad adoption of the Internet of Things (IoT) in a variety of scenarios and application services, management and orchestration entities require upgrading the traditional architecture and develop intelligent models with ultra-reliable methods. In a heterogeneous network environment, mission-critical IoT applications are significant to consider. With erroneous priorities and high failure rates, catastrophic losses in terms of human lives, great business assets, and privacy leakage will occur in emergent scenarios. In this paper, an efficient resource slicing scheme for optimizing federated learning in software-defined IoT (SDIoT) is proposed. The decentralized support vector regression (SVR) based controllers predict the IoT slices via packet inspection data during peak hour central congestion to achieve a time-sensitive condition. In off-peak hour intervals, a centralized deep neural networks (DNN) model is used within computation-intensive aspects on fine-grained slicing and remodified decentralized controller outputs. With known slice and prioritization, federated learning communications iteratively process through the adjusted resources by virtual network functions forwarding graph (VNFFG) descriptor set up in software-defined networking (SDN) and network functions virtualization (NFV) enabled architecture. To demonstrate the theoretical approach, Mininet emulator was conducted to evaluate between reference and proposed schemes by capturing the key Quality of Service (QoS) performance metrics.

• 한국통신학회논문지
• /
• 제38B권4호
• /
• pp.266-278
• /
• 2013

본 논문은 인터넷과 같은 다중제공자(multi-provider) 네트워크 환경 하에서 패킷 플로우를 효과적으로 제어하기 위한 SDN(Software Defined Networking) 기반의 정책 제어기를 소개한다. 제안된 정책 제어기는 네트워크 가시성 정보를 이용해 가상링크 및 가상포트 등을 직관적으로 제어함으로써 효과적인 서비스 오버레이 네트워킹(service overlay networking) 환경을 실현한다. 또한, 논리적으로 구분된 다수의 주문형 가상망을 신속히 구성하고 동적으로 관리함으로써 응용에 최적화된 네트워킹 환경을 사용자에게 제공한다. 본 논문에서는 정책 제어기의 구조 및 특징을 소개한 후, 멀티캐스트를 위한 두 가지 서비스 응용을 예시한다. 또한, 해당 응용들을 이용한 네트워크 서비스의 구성 시간을 성능 평가함으로써 정책 제어기의 적용 가능성을 확인한다.

• 인터넷정보학회논문지
• /
• 제22권6호
• /
• pp.1-8
• /
• 2021

With the rapid growth of intelligent devices and communication technologies, 5G network environment has become more heterogeneous and complex in terms of service management and orchestration. 5G architecture requires supportive technologies to handle the existing challenges for improving the Quality of Service (QoS) and the Quality of Experience (QoE) performances. Among many challenges, traffic steering is one of the key elements which requires critically developing an optimal solution for smart guidance, control, and reliable system. Mobile edge computing (MEC), software-defined networking (SDN), network functions virtualization (NFV), and deep learning (DL) play essential roles to complementary develop a flexible computation and extensible flow rules management in this potential aspect. In this proposed system, an accurate flow recommendation, a centralized control, and a reliable distributed connectivity based on the inspection of packet condition are provided. With the system deployment, the packet is classified separately and recommended to request from the optimal destination with matched preferences and conditions. To evaluate the proposed scheme outperformance, a network simulator software was used to conduct and capture the end-to-end QoS performance metrics. SDN flow rules installation was experimented to illustrate the post control function corresponding to DL-based output. The intelligent steering for network communication traffic is cooperatively configured in SDN controller and NFV-orchestrator to lead a variety of beneficial factors for improving massive real-time Internet of Things (IoT) performance.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2017년도 추계학술대회
• /
• pp.563-564
• /
• 2017

클라우드 컴퓨팅 기술의 핵심은 데이터 센터이며 데이터 센터 내에서는 네트워킹 기술이 중요하다. 클라우드 데이터 센터에는 수만에서 수십만 개의 물리적 서버로 구성되어 있어서 높은 수준의 데이터 전송이 가능한 네트워킹 기술이 필요하다. 이러한 네트워킹 기술은 또한 확장성과 고장 감내성 등이 필요하며 민첩성이 필요하다. 이를 위해 다양한 다중 경로를 이용하는 기법이 제안되었다. 하지만 주로 부하 균형을 위한 기법이나 임의적으로 경로를 선택하는 데 사용되었다. 본 논문에서는 소프트웨어 정의 네트워킹 기술을 이용하여 다중 경로를 구성하고 다중 경로를 이용하여 트래픽을 병렬 전송함으로써 빠른 전송속도를 가져오며, 확장성 문제를 해결하고 고장 발생 시에 감내할 수 있는 기술을 제안한다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제10권1호
• /
• pp.1-17
• /
• 2016

The separated management and operation of commercial IP/optical multilayer networks makes network operators look for a unified control plane (UCP) to reduce their capital and operational expenditure. Software-defined networking (SDN) provides a central control plane with a programmable mechanism, regarded as a promising UCP for future optical networks. The general control and scheduling mechanism in SDN-based optical burst switching (OBS) networks is insufficient so the controller has to process a large number of messages per second, resulting in low network resource utilization. In view of this, this paper presents the burst-flow scheduling mechanism (BFSM) with a proposed scheduling algorithm considering channel usage. The simulation results show that, compared with the general control and scheduling mechanism, BFSM provides higher resource utilization and controller performance for the SDN-based OBS network in terms of burst loss rate, the number of messages to which the controller responds, and the average latency of the controller to process a message.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제12권10호
• /
• pp.4640-4661
• /
• 2018

To cope with the explosive growth of Internet services, Service Function Chaining (SFC) based on Software-defined Networking (SDN) is an emerging and promising technology that has been suggested to meet this challenge. Determining the placement of Virtual Network Functions (VNFs) and routing paths that optimize the network utilization and resource consumption is a challenging problem, particularly without violating service level agreements (SLAs). This problem is called the optimal SFC placement problem and an Integer Linear Programming (ILP) formulation is provided. A greedy heuristic solution is also provided based on an improved two-step mapping algorithm. The obtained experimental results show that the proposed algorithm can automatically place VNFs at the optimal locations and find the optimal routing paths for each online request. This algorithm can increase the average request acceptance rate by about 17.6% and provide more than 20-fold reduction of the computational complexity compared to the Greedy algorithm. The feasibility of this approach is demonstrated via NetFPGA-10G prototype implementation.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권1호
• /
• pp.484-510
• /
• 2017

Network security is rapidly developing, but so are attack methods. Network worms are one of the most widely used attack methods and have are able to propagate quickly. As an active defense approach to network worms, the honeynet technique has long been limited by the closed architecture of traditional network devices. In this paper, we propose a closed loop defense system of worms based on a Software-Defined Networking (SDN) technology, called Worm-Hunter. The flexibility of SDN in network building is introduced to structure the network infrastructures of Worm-Hunter. By using well-designed flow tables, Worm-Hunter is able to easily deploy different honeynet systems with different network structures and dynamically. When anomalous traffic is detected by the analyzer in Worm-Hunter, it can be redirected into the honeynet and then safely analyzed. Throughout the process, attackers will not be aware that they are caught, and all of the attack behavior is recorded in the system for further analysis. Finally, we verify the system via experiments. The experiments show that Worm-Hunter is able to build multiple honeynet systems on one physical platform. Meanwhile, all of the honeynet systems with the same topology operate without interference.